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How to Use the Lob MCP in Pydantic AI

Bring strict type safety to physical mail operations by integrating Lob with your Pydantic AI agents.

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Pydantic AI

Connect Lob MCP to Pydantic AI

Create your Vinkius account to connect Lob to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Type-safe address validation in Pydantic AI

The Lob MCP Server exposes `verify_us_address` and `autocomplete_us_address` to clean and standardize physical delivery coordinates. Your agent passes messy inputs to these tools and receives strictly typed address payloads in return. If the address verification tool returns unexpected data formats, Pydantic AI raises a validation error immediately. This prevents your Python application from writing corrupted address records to your database or sending mail to invalid locations.

Send verified letters and postcards with Pydantic AI

The `create_letter` and `create_postcard` tools let your agent generate physical mail pieces using HTML templates. The agent maps your internal data structures to Lob's required parameters, ensuring perfect alignment before dispatch. By using `create_template` and `get_template`, your agent manages reusable layouts safely. If a template schema changes, the runtime validation catches mismatches before the agent attempts to trigger a print job.

Secure check issuance with runtime model validation

The `create_bank_account` and `create_check` tools allow your agent to register funding sources and mail physical checks. Every bank routing number and account field is validated against strict Pydantic models before the MCP tool execution. You can audit your financial transactions by calling `list_checks` and `get_check`. Because every response is validated at runtime, you can trust that your payment tracking data matches your application schemas exactly.

Setup guide

Set up Lob MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Pydantic AI with FastMCP

    Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.

  2. 2

    Configure the FastMCPToolset

    Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.

  3. 3

    Create and run your agent

    Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "lob-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Lob tools.",
)

result = await agent.run("List recent Lob transactions")
print(result.output)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lob. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Lob MCP in Pydantic AI

Install the MCP extra package and initialize `MCPToolset` with your Vinkius server URL. Pass this toolset into the `toolsets` argument of your Pydantic AI Agent constructor to register all 21 tools.
The framework raises a validation error at runtime rather than letting the agent proceed with bad data. This ensures your application fails loudly and safely before any physical mail is queued.
Yes. The agent calls `list_letters` or `get_letter` to fetch tracking numbers and delivery dates. The returned JSON is parsed directly into typed Python objects for safe handling.
Your agent can use `create_template` to register layouts and `list_templates` to retrieve them. Pydantic AI ensures the merge variables passed to `create_letter` match the template's expected schema.
All communication is proxied through Vinkius's zero-trust V8 isolates. Your recipient names, mailing addresses, and check amounts are processed in ephemeral memory and never persisted on Vinkius servers.

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